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UNSUPERVISED WISHART CLASSFICATION OF WETLANDS IN NEWFOUNDLAND,CANADA USING POLSAR DATA BASED ON FISHER LINEAR DISCRIMINANT ANALYSIS
Polarimetric Synthetic Aperture Radar (PolSAR) Unsupervised Wishart Classification Fisher Linear Discrimination Feature Weighting
2016/11/23
Polarimetric Synthetic Aperture Radar (PolSAR) imagery is a complex multi-dimensional dataset, which is an important source of information for various natural resources and environmental classificatio...
Functional Linear Discriminant Analysis for Irregularly Sampled Curves
Classification Filtering Functional data Linear discriminant analysis Low dimensional representation Reduced rank Regularized discriminant analysis Sparse curves
2015/8/21
We introduce a technique for extending the classical method of Linear Discriminant Analysis to data sets where the predictor variables are curves or functions. This procedure, which we call functional...
Regularized linear discriminant analysis and its application in microarrays
Regularized linear discriminant analysis microarrays
2015/8/21
In this paper, we introduce a modified version of linear discriminant analysis, called the “shrunken centroids regularized discriminant analysis” (SCRDA). This method generalizes the idea of the “near...
Asymptotic Generalization Bound of Fisher's Linear Discriminant Analysis
Asymptotic Generalization Bound Fisher's Linear Discriminant Analysis
2012/9/17
Fisher’s linear discriminant analysis (FLDA) is an important dimension reduction method in sta-tistical pattern recognition. It has been shown that FLDA is asymptotically Bayes optimal under the homos...
A Direct Estimation Approach to Sparse Linear Discriminant Analysis
Classification constrained l1-minimization Fisher’s rule
2011/7/19
This paper considers sparse linear discriminant analysis of high-dimensional data. In contrast to the existing methods which are based on separate estimation of the precision matrix $\O$ and the diffe...
A Direct Estimation Approach to Sparse Linear Discriminant Analysis
Classification constrained l1-minimization Fisher’s rule linear discriminant analysis naive Bayes rule sparsity
2011/10/8
Abstract: This paper considers sparse linear discriminant analysis of high-dimensional data. In contrast to the existing methods which are based on separate estimation of the precision matrix $\O$ and...
Sparse linear discriminant analysis by thresholding for high dimensional data
Classification high dimensionality misclassification rate nor-mality optimal classification rule sparse estimates
2011/6/20
In many social, economical, biological and medical studies, one
objective is to classify a subject into one of several classes based on
a set of variables observed from the subject. Because the prob...
Study of age-related changes in postural control during quiet standing through Linear Discriminant Analysis
age-related changes postural control Linear Discriminant Analysis
2010/2/25
These results show that the analysis of features computed from the displacement of the COP are of great importance in studies trying to understand the ageing process. In particular, the LDA-value show...
COMPARATIVE PERFORMANCE OF SEVERAL ROBUST LINEAR DISCRIMINANT ANALYSIS METHODS
discriminant analysis robustness MCD S-estimates M-estimates R
2009/2/25
The problem of the non-robustness of the classical estimates in the setting of the
quadratic and linear discriminant analysis has been addressed by many authors:
Todorov et al. [19, 20], Chork and R...
Component-based Cascade Linear Discriminant Analysis for Face Recognition
Component-based Cascade Linear Discriminant Analysis Face Recognition
2010/12/15
This paper presents a novel face recognition method based on cascade Linear Discriminant Analysis (LDA) of the component-based face representation. In the proposed method, a face image is represented ...